Document Type

Research Brief

DOI

10.5703/1288284318573

Start Date

10-11-2025 12:00 AM

Description

Artificial Intelligence (AI) is reshaping education, yet its integration into K–12 mathematics remains limited. This scoping review synthesizes 7 empirical studies (2022–2025). The primary purpose of this review is to explore the benefits, challenges, and gaps in AI integration in mathematics. This review is guided by Arksey and O'Malley's scoping review framework. The reviewed literature data is analyzed through reflexive thematic analysis. This review identified four key themes: prompting literacy, accuracy norms, efficiency, and personalization. Results showed that AI can strengthen reasoning and engagement in mathematics teaching and learning. The effectiveness relies on teacher agency, ongoing professional development, and systemic support. Additionally, ongoing equity and policy challenges emphasize the need for clear guidelines. These findings provide valuable direction for educators and policymakers for AI integration in K-12 mathematics and future research.

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Nov 10th, 12:00 AM

Mapping Empirical Evidence on Artificial Intelligence Tools for Mathematics Teachers: A Scoping Review

Artificial Intelligence (AI) is reshaping education, yet its integration into K–12 mathematics remains limited. This scoping review synthesizes 7 empirical studies (2022–2025). The primary purpose of this review is to explore the benefits, challenges, and gaps in AI integration in mathematics. This review is guided by Arksey and O'Malley's scoping review framework. The reviewed literature data is analyzed through reflexive thematic analysis. This review identified four key themes: prompting literacy, accuracy norms, efficiency, and personalization. Results showed that AI can strengthen reasoning and engagement in mathematics teaching and learning. The effectiveness relies on teacher agency, ongoing professional development, and systemic support. Additionally, ongoing equity and policy challenges emphasize the need for clear guidelines. These findings provide valuable direction for educators and policymakers for AI integration in K-12 mathematics and future research.